Foraging spots of streaked shearwaters in relation to ocean surface currents as identified using their drift movements

Yoda, Ken; Shiomi, Kozue; Sato, Katsufumi

doi:10.1016/j.pocean.2013.12.002

Cited by 53 publications

(45 citation statements)

References 72 publications

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“…Only the wind estimates from three birds had meaningful impact on data assimilation when severe rainfall occurred in Japan associated with two typhoons using regional numerical forecast system (Wada et al, 2017). Yoda et al (2014) developed a new method for obtaining in situ ocean current measurements by using sea birds with GPS/GNSS loggers floating at the surface as Lagrangian current sensors akin to drifting buoys. The sea birds forage boundary areas between two oceanic mesoscale eddies where primary productivity and prey density are thought to be high.…”

Section: Development Of Biologging As An Ocean Observation Platform Fmentioning

confidence: 99%

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

et al. 2019

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Over the past decade, measurements from the climate-oriented ocean observing system have been key to advancing the understanding of extreme weather events that originate and intensify over the ocean, such as tropical cyclones (TCs) and extratropical bomb cyclones (ECs). In order to foster further advancements to predict and better understand these extreme weather events, a need for a dedicated observing system component specifically to support studies and forecasts of TCs and ECs has been identified, but such a system has not yet been implemented. New technologies, pilot networks, targeted deployments of instruments, and state-of-the art coupled numerical models have enabled advances in research and forecast capabilities and illustrate a potential framework for future development. Here, applications and key results made possible by the different ocean observing efforts in support of studies and forecasts of TCs and ECs, as well as recent advances in observing technologies and strategies are reviewed. Then a vision and specific recommendations for the next decade are discussed.

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Section: Development Of Biologging As An Ocean Observation Platform Fmentioning

confidence: 99%

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

et al. 2019

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“…ocean surface were used to derive high-resolution ocean surface currents that matched with in situ and remote-sensing measurements of currents (19). These seabird-derived current data were assimilated into ocean models, resulting in refinement of the gyre patterns represented by the model (20).…”

Section: Significancementioning

confidence: 99%

“…Wind stress and wind stress curl in coastal areas induce surface currents and upwelling systems that often generate areas of high biological productivity (6,8). We can intensively monitor these productive areas using seabirds because seabirds tend to forage in such areas (19). These data can effectively complement the data from drifting buoys, which are less effective in detecting such areas.…”

Section: Bird-based Wind Covers Spatial and Temporal Observation Gapsmentioning

confidence: 99%

Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction

Yonehara

Goto

Yoda

et al. 2016

Proc. Natl. Acad. Sci. U.S.A.

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Ocean surface winds are an essential factor in understanding the physical interactions between the atmosphere and the ocean. Surface winds measured by satellite scatterometers and buoys cover most of the global ocean; however, there are still spatial and temporal gaps and finer-scale variations of wind that may be overlooked, particularly in coastal areas. Here, we show that flight paths of soaring seabirds can be used to estimate fine-scale (every 5 min, ∼5 km) ocean surface winds. Fine-scale global positioning system (GPS) positional data revealed that soaring seabirds flew tortuously and ground speed fluctuated presumably due to tail winds and head winds. Taking advantage of the ground speed difference in relation to flight direction, we reliably estimated wind speed and direction experienced by the birds. These birdbased wind velocities were significantly correlated with wind velocities estimated by satellite-borne scatterometers. Furthermore, extensive travel distances and flight duration of the seabirds enabled a wide range of high-resolution wind observations, especially in coastal areas. Our study suggests that seabirds provide a platform from which to measure ocean surface winds, potentially complementing conventional wind measurements by covering spatial and temporal measurement gaps.biologging | dynamic soaring | satellite scatterometer | GPS | meteorology R ecently, remote-sensing systems used to record atmospheric circulation have been developed. Satellite-borne scatterometers estimate ocean surface wind velocities each day covering the majority of the global ocean. These wide-range wind data in combination with refined ocean models are used in numerical weather predictions and describe the oceanographic features more accurately (1-3). Buoys scattered over the ocean also measure fine-time resolution in situ surface winds and are used in validating remote-sensing measurements and are assimilated into model analyses (4, 5). However, because wind data are only acquired twice per day by each satellite and buoys have limited spatial coverage, finer-scale changes of hours to days in local wind conditions could be overlooked. In addition, in coastal areas, where high biological productivity is associated with ocean and atmosphere circulation patterns (6), wind data are lacking due to variations in wind and wave caused by complex topographic effects that satellites have difficulty measuring (5,7,8). Obtaining in situ high-resolution atmospheric and oceanographic data to fill these spatial and temporal observation gaps would deepen our understanding of physical processes relevant to interactions between the atmosphere and ocean, contribute to improved atmospheric and ocean model analyses (7,8), and reveal detailed structure that remains unresolved by using conventional methods (9).The recent development of miniaturized animal-borne data loggers presented a capability to use animals as indicators of environmental variables. The extensive movement range and locomotion ability of marine mammals and seabirds ena...

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“…The STEFTR method was also applied to the trajectories of flying seabirds in the wild and rats in the laboratory. The seabirds, Calonectris leucomelas, traveled ~100 times longer distances (up to 1,000 km) with ~10 times the speeds compared to penguins (Matsumoto et al, 2017;Yoda et al, 2014). Like in the case of penguins, the average velocity (V_Ave) showed multiple peaks and was classified into 5 clusters ( Fig.…”

Section: Estimation Of Behavioral Statesmentioning

confidence: 97%

A hybrid versatile method for state estimation and feature extraction from the trajectory of animal behavior

Yamazaki

Ohara

Ito

et al. 2017

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Classification: Biological Sciences, Neuroscience 24 25 not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/198879 doi: bioRxiv preprint first posted online Oct. 9, 2017; not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/198879 doi: bioRxiv preprint first posted online Oct. 9, 2017; not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/198879 doi: bioRxiv preprint first posted online Oct. 9, 2017; not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/198879 doi: bioRxiv preprint first posted online Oct. 9, 2017; not peer-reviewed) is the author/funder. All rights reserved. No reuse allowed without permission.The copyright holder for this preprint (which was . http://dx.doi.org/10.1101/198879 doi: bioRxiv preprint first posted online Oct. 9, 2017; ABSTRACT 26Animal behavior is the integrated output of multiple brain functions. However, 27 understanding how multiple brain functions affect behavior has been difficult. In order to 28 decipher dynamic brain functions from time-series of behavioral data, we developed a 29 machine learning strategy that extracts distinguishing behavioral features of sensory 30 navigation. We first investigated experience-dependent enhancement of odor avoidance 31 behavior of the nematode Caenorhabditis elegans. We segmented worms' trajectories 32 during olfactory navigation into two behavioral states, analyzed 92 features of the states, 33 and automatically extracted 9 distinguishing features modulated by prior odor 34 experience using a statistical index, the gain ratio. The extracted features included ones 35 previously unidentified, one of which indicated that the prior odor experience lowers 36 worms' behavioral responses to a small increase in odor concentration, causing enhanced 37 odor avoidance. In fact, calcium imaging analysis revealed that the response of ASH 38 nociceptive neurons to a small odor increase was significantly reduced after prior odor 39 experience. In addition, based on extracted features, multiple mutant strains were 40 categorized into several groups that are related to physiological functions of the mutated 41 genes, suggesting a possible estimation of unknown gene function by behavioral features. 42Furthermore, we also extracted behavioral features modulated by experience in acoustic 43 navigation of bats. Thus, our results demonstrate that, regardless of animal species, 44 sensory modality, and spatio-temporal scale, behavioral features during navigation can be 45 extracted by machine learning analysis, which may lead to the understanding of 46 information processing in ...

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Foraging spots of streaked shearwaters in relation to ocean surface currents as identified using their drift movements

Cited by 53 publications

References 72 publications

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

Ocean Observations in Support of Studies and Forecasts of Tropical and Extratropical Cyclones

Flight paths of seabirds soaring over the ocean surface enable measurement of fine-scale wind speed and direction

A hybrid versatile method for state estimation and feature extraction from the trajectory of animal behavior

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